---
title: "S4R: Class 15 Designing Studies"
author: "Your Name Here"
date: "`r format(Sys.time(), '%B %d, %Y')`"
output:
html_document:
toc: true
---
---
# Rubric
1. Using your dataset's description and/or codebook, briefly describe how the data were collected (the sampling strategy).
* (2 p) Indicate the source of the information, document name or url and page number and
* (4 p) summarize the data collection strategy.
* (4 p) What potential issues (estimation bias, etc) may be a result of this collection strategy,
or how does the strategy used protect against potential sampling issues?
(For example, if there is an interest to learn about different types of people and
a certain type has a very low population frequency, then a good study design would use
stratified sampling to oversample people from that group to assure that estimates
have adequate sample sizes for that group.)
Add your answers to your project file.
(In this class we will also be collecting data for Class 16.)